News
SpaceX hot-fires Falcon 9 with Crew Dragon aboard prior to first orbital launch
SpaceX has completed a hot-fire test of Falcon 9 B1051 at Pad 39A, hopefully demonstrating that the company’s first human-rated rocket is ready to support the orbital launch debut of its Crew Dragon spacecraft.
Given NASA’s uniquely conservative tendencies, it’s hard to extrapolate from SpaceX’s well-worn launch operations. Nevertheless, if the data from this static fire show a healthy spacecraft and rocket, SpaceX will likely be well on their way to the first (uncrewed) orbital launch of Crew Dragon, currently expected no earlier than (NET) the second half of February.
TEST FIRE of #SpaceX Falcon 9 and Crew Dragon at 1600 ET / 2100 UTC! Appeared to go well. pic.twitter.com/a66CnBv7fU
— Emre Kelly (@EmreKelly) January 24, 2019
In an intriguing sign that Crew Dragon was fully fueled and ready to abort at any second, SpaceX Dragon recovery vessel GO Searcher was stationed in the Atlantic Ocean just a few miles East of Falcon 9’s static fire attempt at Pad 39A. In other words, if Falcon 9 were to have experienced a potentially catastrophic anomaly during propellant loading or Merlin 1D ignition, Crew Dragon would have likely ignited its 8 Super Draco abort thrusters to rapidly accelerate away from the rocket, theoretically saving itself (and any astronauts aboard). GO Searcher would have then quickly recovered the forlorn spacecraft after it deployed its parachutes and landed in the ocean, essentially a replay of the Pad Abort test SpaceX engineers and technicians completed in 2015.
Designed with the sole intention of ensuring that Crew Dragon is capable of safely aborting an anomalous launch and carrying astronauts to safety at almost any point between ignition and orbit, that same launch abort system (LAS) also offers the option for Crew Dragon to escape a potentially damaging situation even without a crew aboard. In the latter case, Crew Dragon’s hardware would be preserved for potential refurbishment and reuse, likely saving SpaceX and NASA tens of millions of dollars (if not $100M+) and cutting months off of the inevitable delays that would follow. Crew Dragon’s integrated LAS – meaning that the spacecraft brings it wherever it goes – is completely unique in the history of crewed spaceflight and ultimately offers unbeatable protection for any astronauts or passengers entrusted to it.
Thanks in large part to undoubtedly disruptive NASA demands that may well be far more conservative than necessary, SpaceX extensively re-engineered Falcon 9 for ease of manufacturing and extreme reliability, both of which go hand in hand. Among dozens of minor to major changes, M1D and MVac engines were modified to mitigate minor problems with turbopump blades fracturing, overall avionics redundancy was upgraded, and Falcon’s ultra-high-pressure helium storage tanks (COPVs) were drastically redesigned.
These upgrades were ultimately integrated into the iteration known as Block 5. According to SpaceX’s updated Falcon 9 and Heavy payload user guide, “[aside from the payload interface], all first- and second-stage vehicle systems are the same [for Dragon and satellite launches], indicating that the same exact rocket is produced for any given single-stick Falcon 9 launch. This means that all SpaceX customers, US government or not, benefit directly from the reliability demanded by NASA and the US military for crewed and uncrewed launches. It also means that SpaceX’s production system remains exceptionally simple, as just a single upper stage and booster variation is needed for the vast majority of the company’s launches. Falcon Heavy requires a unique center core booster and nosecones but is otherwise unchanged from Falcon 9.
According to Russian media, SpaceX is now targeting Crew Dragon’s launch debut NET February 16th. Liftoff will occur around 8am EDT (13:00 UTC) if that timeframe holds.
The Russians are claiming NET 16th, but again – don’t go booking any flights. That may not stick.
PS This is not unexpected. Lots of first time (unique mission) reviews, ISS in play, etc. etc. It’ll be mostly paperwork related.
— Chris B – NSF (@NASASpaceflight) January 21, 2019
News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
